DataKubes – All-in-One Data Platform

Solutions

AI Inventory Optimization

Predict Inventory Stock Levels using AI/ML Models and increase your organization productivity.

Problem

Having the correct Inventory Level is crucial for any organization handling inventory. From purchasing on time, transportation delays, goods reception and warehouse overstock, are common problems in the inbound of inventory to warehouse.

Extracting and mining inventory data from legacy, warehouse management system is the first part, its very important for scoring and evaluating the correct AI/ML Models in a single way is more complex using legacy analytics, and last deploying data insights to the correct users makes the overall process complex and difficult for any Inventory Optimization, Supply Chain Management teams.

Solution

DataKubes brings Inventory Optimization AI Ready to Use DataKubes Workshop Project, easy to deploy and integrate into your enterprise data. Ready to use AI/ML models and a DataApp with the UX ready to be deployed to the correct users in your organization. Reducing From months to days the time of implementation and receiving optimization results from your existing data.

DataKubes simplifies the overall AI/ML Adoption to your organization, using a single point of Orchestration of Storage and Computing Power, all focused to enable not just AI/ML Inventory Optimization solutions but the platform to create new AI/ML Applications to responde to the most demanding questions and unsolved problems.

Full Inventory View

DataKubes Ai Inventory Optimization offers a full view of inventory levels predictions, stock levels, delivery times and much more, all from the DataApps design to offer a complete UX to the users assign to optimize the inventory levels and stock management in your organization.

DataKubes Orchestrator

DataKubes WorkShop, a module of DataKubes Orchestrator, is a complete modular development platform design to handle the complete extraction, machine learning and visualization workflow process for any kind of data problem need. Once the orchestrator has finished integrating the datapoint and adjusting the modules for running the AutoML or custom modules, it is as easy as creating a DataApp using our no-code DataApp Studio to create a complete UX end user app to be deployed inside or outside the organization.

Key Features

Full Inventory 360° View

Full Inventory and Stock Levels overview from multiple sources, analyze your stock levels in a single point of truth.

Alerts Rules

Full Inventory and Stock Levels overview from multiple sources, analyze your stock levels in a single point of truth.

AutoML or Custom ML

All Churn data is analyzed using AutoML models or custom models based on your real organization data.

Use Cases

  • Predicting inventory stock levels using AutoML or CustomML. View all your inventory data in one place.
  • Deploy to users a complete UX DataApp that consolidated all inventory data in one place, from dashboards to specific screens.
  • Be alerted when new prediction data arises, like low stock, overflow or delivery fill-rates.
  • Simple to maintain, customize, deploy and use.

Contact us
to get a Demo

Learn how to easily deploy the power of your data together with data science to get actionable predictions for your organisation. your organisation